AIMC Topic: Severity of Illness Index

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Applying machine learning to ecological momentary assessment data to identify predictors of loss-of-control eating and overeating severity in adolescents: A preliminary investigation.

Appetite Feb 6, 2025
OBJECTIVE: Several factors (e.g., interpersonal stress, affect) predict loss-of-control (LOC) eating and overeating in adolescents, but most past research has tested predictors separately. We applied machine learning to simultaneously evaluate multip...
Feeding Behavior Craving Ecological Momentary Assessment Hyperphagia Humans Machine Learning Female Male Severity of Illness Index Adolescent Stress, Psychological Adolescent Behavior
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Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation.

PloS one Feb 6, 2025
This work focuses on the efficiency of the knowledge distillation approach in generating a lightweight yet powerful BERT-based model for natural language processing (NLP) applications. After the model creation, we applied the resulting model, LastBER...
Natural Language Processing Humans Attention Deficit Disorder with Hyperactivity Severity of Illness Index Social Media
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Deep learning radiomics nomogram for preoperatively identifying moderate-to-severe chronic cholangitis in children with pancreaticobiliary maljunction: a multicenter study.

BMC medical imaging Feb 5, 2025
BACKGROUND: Long-term severe cholangitis can lead to dense adhesions and increased fragility of the bile duct, complicating surgical procedures and elevating operative risk in children with pancreaticobiliary maljunction (PBM). Consequently, preopera...
Nomograms Chronic Disease Cholangitis Pancreaticobiliary Maljunction Radiomics Male Infant Severity of Illness Index Deep Learning Adolescent Child, Preschool Child Humans Retrospective Studies Tomography, X-Ray Computed Female
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Prediction of obstructive coronary artery disease using coronary calcification and epicardial adipose tissue assessments from CT calcium scoring scans.

Journal of cardiovascular computed tomography Feb 4, 2025
BACKGROUND: Low-cost/no-cost non-contrast CT calcium scoring (CTCS) exams can provide direct evidence of coronary atherosclerosis. In this study, using features from CTCS images, we developed a novel machine learning model to predict obstructive coro...
Humans Machine Learning Decision Support Techniques Prognosis Male Middle Aged Risk Assessment Severity of Illness Index Female Reproducibility of Results Risk Factors Aged Epicardial Adipose Tissue Coronary Vessels Adipose Tissue Vascular Calcification Predictive Value of Tests Computed Tomography Angiography Coronary Angiography Pericardium Coronary Artery Disease
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Diagnostic Value of Median Nerve Cross-sectional Area Measured by Ultrasonography for the Severity of Carpal Tunnel Syndrome: A Machine Learning-Based Approach.

American journal of physical medicine & rehabilitation Feb 3, 2025
OBJECTIVE: This study was conducted to evaluate the diagnostic performance and to establish cutoff values of median nerve cross-sectional area for classifying the severity of carpal tunnel syndrome.
Machine Learning Female Aged Adult Ultrasonography Humans Sensitivity and Specificity ROC Curve Male Median Nerve Middle Aged Carpal Tunnel Syndrome Severity of Illness Index
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A machine learning model using clinical notes to estimate PHQ-9 symptom severity scores in depressed patients.

Journal of affective disorders Feb 3, 2025
BACKGROUND: Lack of widespread use of the Patient Health Questionnaire 9-item (PHQ-9) in clinical practice inhibits measurement of treatment follow-up for patients with major depressive disorder (MDD). This study developed, validated and applied a ma...
Depressive Disorder, Major Severity of Illness Index Patient Health Questionnaire Humans Machine Learning Electronic Health Records Female Adult Male Middle Aged
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Risk factors and machine learning prediction models for intrahepatic cholestasis of pregnancy.

BMC pregnancy and childbirth Jan 30, 2025
BACKGROUND: Intrahepatic cholestasis of pregnancy (ICP) is a liver disorder that occurs in the second and third trimesters of pregnancy and is associated with a significant risk of fetal complications, including premature birth and fetal death. In cl...
Cholestasis, Intrahepatic Machine Learning Humans Pregnancy Complications Pregnancy Neural Networks, Computer Adult Female Severity of Illness Index Risk Factors Case-Control Studies China
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A deep learning based model for diabetic retinopathy grading.

Scientific reports Jan 30, 2025
Diabetic retinopathy stands as a leading cause of blindness among people. Manual examination of DR images is labor-intensive and prone to error. Existing methods to detect this disease often rely on handcrafted features which limit the adaptability a...
Neural Networks, Computer Algorithms Severity of Illness Index Image Processing, Computer-Assisted Deep Learning Humans Image Interpretation, Computer-Assisted Diabetic Retinopathy
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Enhancing quantitative coronary angiography (QCA) with advanced artificial intelligence: comparison with manual QCA and visual estimation.

The international journal of cardiovascular imaging Jan 29, 2025
Artificial intelligence-based quantitative coronary angiography (AI-QCA) was introduced to address manual QCA's limitations in reproducibility and correction process. The present study aimed to assess the performance of an updated AI-QCA solution (MP...
Humans Artificial Intelligence Retrospective Studies Female Reproducibility of Results Aged Male Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Coronary Stenosis Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography
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Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study.

BMC infectious diseases Jan 28, 2025
BACKGROUND: Drivers of COVID-19 severity are multifactorial and include multidimensional and potentially interacting factors encompassing viral determinants and host-related factors (i.e., demographics, pre-existing conditions and/or genetics), thus ...
Genome, Viral Middle Aged Retrospective Studies Aged Severity of Illness Index Humans Female Aged, 80 and over COVID-19 Genomics SARS-CoV-2 Adult Supervised Machine Learning Hospitalization Male
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